Exploring Safe Overtaking Behavior on Two-Lane Two-Way Road Using Multiagent Driving Simulators and Traffic Simulation
Safety and efficiency of autonomous driving behavior are a tradeoff. Behaviors that are too focused on safety can reduce road operation efficiency, while those that are too efficient can compromise passengers’ safety beyond their tolerance. Therefore, it is important to understand people’s character...
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| Format: | Article |
| Language: | English |
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Wiley
2024-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2024/8242764 |
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| _version_ | 1832568776348925952 |
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| author | Taeho Oh Heechan Kang Zhibin Li |
| author_facet | Taeho Oh Heechan Kang Zhibin Li |
| author_sort | Taeho Oh |
| collection | DOAJ |
| description | Safety and efficiency of autonomous driving behavior are a tradeoff. Behaviors that are too focused on safety can reduce road operation efficiency, while those that are too efficient can compromise passengers’ safety beyond their tolerance. Therefore, it is important to understand people’s characteristics and maintain a balance between safety and efficiency. Overtaking, which involves passing the preceding vehicle and improving road capacity, requires complex interaction as collisions with opposing vehicles must be avoided on a two-lane, two-way road. Overtaking to increase road capacity can induce unnecessary deceleration in oncoming vehicles, harming oncoming traffic flow. To address these concerns, a diverse dataset of natural overtaking behavior is a priority. We conduct experiments using a network connection between two multiagent driving simulators to collect a human behavior-based overtaking dataset and develop driving behavior models engaged in overtaking situations using the Extra Trees model. The behavior models are embedded in microsimulation to generate human behavior-based datasets under different conditions using a dynamic link library and component object model interfaces. To understand the interaction in an overtaking scenario by the generated datasets, we used a K-means clustering technique to analyze the different reaction behaviors between the oncoming and overtaking vehicles. The threshold for achieving a balanced combination of safety and efficiency is established using XGboost. Finally, safe overtaking behavior is analyzed using a combination of the classified driving styles and thresholds. The results show that the overtaking vehicle can safely start overtaking without endangering oncoming vehicles when both speed and distance conditions are met simultaneously; the speed is lower than 44.29 km/h and it is 407 m away from oncoming vehicles. |
| format | Article |
| id | doaj-art-63bda7390f3041f1a25351864461061f |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-63bda7390f3041f1a25351864461061f2025-02-03T00:25:12ZengWileyJournal of Advanced Transportation2042-31952024-01-01202410.1155/2024/8242764Exploring Safe Overtaking Behavior on Two-Lane Two-Way Road Using Multiagent Driving Simulators and Traffic SimulationTaeho Oh0Heechan Kang1Zhibin Li2School of TransportationMobility Research DepartmentSchool of TransportationSafety and efficiency of autonomous driving behavior are a tradeoff. Behaviors that are too focused on safety can reduce road operation efficiency, while those that are too efficient can compromise passengers’ safety beyond their tolerance. Therefore, it is important to understand people’s characteristics and maintain a balance between safety and efficiency. Overtaking, which involves passing the preceding vehicle and improving road capacity, requires complex interaction as collisions with opposing vehicles must be avoided on a two-lane, two-way road. Overtaking to increase road capacity can induce unnecessary deceleration in oncoming vehicles, harming oncoming traffic flow. To address these concerns, a diverse dataset of natural overtaking behavior is a priority. We conduct experiments using a network connection between two multiagent driving simulators to collect a human behavior-based overtaking dataset and develop driving behavior models engaged in overtaking situations using the Extra Trees model. The behavior models are embedded in microsimulation to generate human behavior-based datasets under different conditions using a dynamic link library and component object model interfaces. To understand the interaction in an overtaking scenario by the generated datasets, we used a K-means clustering technique to analyze the different reaction behaviors between the oncoming and overtaking vehicles. The threshold for achieving a balanced combination of safety and efficiency is established using XGboost. Finally, safe overtaking behavior is analyzed using a combination of the classified driving styles and thresholds. The results show that the overtaking vehicle can safely start overtaking without endangering oncoming vehicles when both speed and distance conditions are met simultaneously; the speed is lower than 44.29 km/h and it is 407 m away from oncoming vehicles.http://dx.doi.org/10.1155/2024/8242764 |
| spellingShingle | Taeho Oh Heechan Kang Zhibin Li Exploring Safe Overtaking Behavior on Two-Lane Two-Way Road Using Multiagent Driving Simulators and Traffic Simulation Journal of Advanced Transportation |
| title | Exploring Safe Overtaking Behavior on Two-Lane Two-Way Road Using Multiagent Driving Simulators and Traffic Simulation |
| title_full | Exploring Safe Overtaking Behavior on Two-Lane Two-Way Road Using Multiagent Driving Simulators and Traffic Simulation |
| title_fullStr | Exploring Safe Overtaking Behavior on Two-Lane Two-Way Road Using Multiagent Driving Simulators and Traffic Simulation |
| title_full_unstemmed | Exploring Safe Overtaking Behavior on Two-Lane Two-Way Road Using Multiagent Driving Simulators and Traffic Simulation |
| title_short | Exploring Safe Overtaking Behavior on Two-Lane Two-Way Road Using Multiagent Driving Simulators and Traffic Simulation |
| title_sort | exploring safe overtaking behavior on two lane two way road using multiagent driving simulators and traffic simulation |
| url | http://dx.doi.org/10.1155/2024/8242764 |
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